Grasp the fundamentals of generative AI, including LLMs, diffusion models, and their wide-ranging applications.
Overview
This course offers a comprehensive introduction to Generative AI, covering foundational concepts, key model architectures like large language models (LLMs), diffusion models, and transformers. Students will explore diverse applications from creative content generation to scientific discovery, gaining insight into the tools and techniques required to build, deploy, and scale generative AI solutions. Designed for developers, researchers, and anyone keen to understand and leverage this transformative technology, the course provides a robust conceptual framework and practical knowledge.
Learning Outcomes
Understand core concepts and principles of generative AI.
Differentiate between various generative AI models like LLMs, diffusion models, and transformers.
Identify practical applications of generative AI across diverse industries.
Explore fundamental tools and techniques for developing generative AI solutions.
Recognize ethical considerations and challenges in generative AI development.